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This release comes with a lot of features, performance improvements and bug fixes read the changelog. Most notable change may be that this polars release now is based on arrow2.
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Polars is a blazingly fast DataFrame library/ in memory query engine written in Rust and usable in Rust and Python.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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nushell (a new type of shell)
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explorer
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
explorer (a dataframe lib in elixir)
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In this particular case the reason is because it is the most performant dataFrame API in the H2O benchmark, so imo it is justified.